Composite human physiological stress index based on heart beat and sleep and/or activity history data including actigraphy

• US 8,568,330 B2
• Filed: 03/08/2012
• Issued: 10/29/2013
• Est. Priority Date: 03/08/2011
• Status: Active Grant

• Current Assignee: Rejuvenly Incorporated
• Original Assignee: Pulsar Informatics, Inc.
• Inventors: Mollicone, Daniel J., Mott, Christopher G., Kan, Kevin Gar Wah
• Primary Examiner(s): Wieland, Robert N
• Application Number:
  US13/415,833
• Publication Number:
  US 20120232414A1
• Time in Patent Office: 600 Days
• Field of Search: 600/508, 600/301, 600/544, 600/546
• US Class Current: 600/508
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles

Abstract

Systems and methods are provided for providing a composite stress index representing a quantified stress level that an individual may be experiencing or may have experienced during a time interval of interest. The composite stress index is determined based on a combination of heart beat data representative of cardiac activity of the individual during the time interval of interest and one or both of: sleep history data comprising one or more sleep onset times and one or more awakening times during the time interval of interest; and physical activity history data representative of gross motor activity of the individual during the time interval of interest.

Claims

1. A method for determining a composite stress index for an individual using a computer, the method comprising:

providing heart beat data at the computer the heart beat data representative of the individual'"'"'s cardiac activity during the time interval of interest;

determining one or more cardiac parameters based on the heart beat data, each cardiac parameter associated with a corresponding characteristic of the individual'"'"'s cardiac activity during the time interval of interest;

determining a cardiac stress index for the individual based on the one or more cardiac parameters;

providing sleep history data at a computer, the sleep history data comprising one or more sleep onset times and one or more awakening times for an individual during a time interval of interest;

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a sleep stress index for the individual based on the one or more sleep parameters; and

determining a composite stress index based at least in part on one or more of the cardiac stress index and the sleep stress index.

2. A method according to claim 1 wherein the one or more cardiac parameters comprise one or more of:

an average heart rate of the heart beat data over the time interval of interest;

a standard deviation of R-R intervals in the heart beat data over the time interval of interest;

a root mean squared difference of successive R peaks in the heart beat data over the time interval of interest;

a number of pairs of successive R-R intervals in the heart beat data over the time interval of interest that differ by more than a threshold time

a ratio of a number of pairs of successive R-R intervals in the heart beat data over the time interval of interest that differ by more than a threshold time divided by a total number of R-R intervals in the heart beat data over the time interval of interest; and

a ratio of a high-frequency power to a low frequency power within a power spectral density of an R-R interval time series constructed from the heart beat data over the time interval of interest.

3. A method according to claim 2 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

a total wake time after first sleep onset parameter indicative of a total time that the individual is awake in bed, after a first occurrence of falling asleep, during the time interval of interest;

a sleep onset latency parameter indicative of a total time that the individual is awake in bed, before first falling asleep, during the time interval of interest; and

a number of awakenings parameter indicative of a total number of times the individual awakens from sleep during the time interval of interest.

4. A method according to claim 2 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise a sleep efficiency parameter indicative of a ratio of a total time asleep while in bed to a total time in bed during the time interval of interest.

5. A method according to claim 2 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

an average length of awake episodes parameter indicative of an average duration the individual is awake during each wake episode during the time interval of interest; and

an average length of sleep episodes parameter indicative of an average duration the individual is asleep during each sleep episode during the time interval of interest.

6. A method according to claim 2 comprising:

providing physical activity history data at the computer, the physical activity history data representative of gross motor activity of the individual during the time interval of interest; and

wherein determining the quantitative composite stress index with the computer based at least in part on both the sleep history data and the heart beat data comprises determining the composite stress index with the computer based at least in part on the sleep history data, the heart beat data and the physical activity history data.

7. A method according to claim 6 wherein determining the composite stress index based at least in part on the sleep history data, the heart beat data and the physical activity history data comprises:

determining one or more physical activity parameters based on the physical activity history data, each physical activity parameter associated with a corresponding characteristic of the individual'"'"'s physical activity during the time period of interest;

determining a single-valued physical activity stress index for the individual based on the one or more physical activity parameters; and

determining the composite stress index based at least in part on the physical activity stress index;

wherein the one or more physical activity parameters comprise one or more of;

a total activity count for the activity history data over the time interval of interest indicative of overall physical movement during the time interval of interest;

an average activity count for the activity history data indicative of typical physical movement during the time interval of interest;

an average activity rate for the activity history data during the time interval of interest indicative of a typical rate of physical movement during the time interval of interest; and

a duration of time that an activity count of the activity history data is above a high activity count threshold over the time interval of interest indicative of a duration of high physical movement.

8. A method according to claim 7 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

a total sleep time parameter indicative of a total time that the individual was asleep during the time interval of interest;

a time in bed parameter indicative of a total time that the individual was in bed during the time interval of interest;

a total wake time after first sleep onset parameter indicative of a total time that the individual is awake in bed, after a first occurrence of falling asleep, during the time interval of interest;

a sleep onset latency parameter indicative of a total time that the individual is awake in bed, before first falling asleep, during the time interval of interest;

a number of awakenings parameter indicative of a total number of times the individual awakens from sleep during the time interval of interest;

a sleep efficiency parameter indicative of a ratio of a total time asleep while in bed to a total time in bed during the time interval of interest;

an average length of awake episodes parameter indicative of an average duration the individual is awake during each wake episode during the time interval of interest; and

an average length of sleep episodes parameter indicative of an average duration the individual is asleep during each sleep episode during the time interval of interest.

9. A method according to claim 1 wherein the one or more sleep parameters comprise one or more of:

a total sleep time parameter indicative of a total time that the individual was asleep during the time interval of interest; and

a time in bed parameter indicative of a total time that the individual was in bed during the time interval of interest.

10. A method according to claim 1 comprising:

providing physical activity history data at the computer, the physical activity history data representative of gross motor activity of the individual during the time interval of interest; and

wherein determining the quantitative composite stress index with the computer based at least in part on both the sleep history data and the heart beat data comprises determining the composite stress index with the computer based at least in part on the sleep history data, the heart beat data and the physical activity history data.

11. A method according to claim 10 wherein determining the composite stress index based at least in part on the sleep history data, the heart beat data and the physical activity history data comprises:

determining one or more physical activity parameters based on the physical activity history data, each physical activity parameter associated with a corresponding characteristic of the individual'"'"'s physical activity during the time period of interest;

determining a single-valued physical activity stress index for the individual based on the one or more physical activity parameters; and

determining the composite stress index based at least in part on the physical activity stress index;

wherein the one or more physical activity parameters comprise one or more of;

a total activity count for the activity history data over the time interval of interest indicative of overall physical movement during the time interval of interest;

an average activity count for the activity history data indicative of typical physical movement during the time interval of interest;

an average activity rate for the activity history data during the time interval of interest indicative of a typical rate of physical movement during the time interval of interest; and

a duration of time that an activity count of the activity history data is above a high activity count threshold over the time interval of interest indicative of a duration of high physical movement.

12. A method according to claim 11 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

a total sleep time parameter indicative of a total time that the individual was asleep during the time interval of interest; and

a time in bed parameter indicative of a total time that the individual was in bed during the time interval of interest.

13. A method according to claim 11 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

a total wake time after first sleep onset parameter indicative of a total time that the individual is awake in bed, after a first occurrence of falling asleep, during the time interval of interest;

a sleep onset latency parameter indicative of a total time that the individual is awake in bed, before first falling asleep, during the time interval of interest; and

a number of awakenings parameter indicative of a total number of times the individual awakens from sleep during the time interval of interest.

14. A method according to claim 11 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise a sleep efficiency parameter indicative of a ratio of a total time asleep while in bed to a total time in bed during the time interval of interest.

15. A method according to claim 11 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

an average length of awake episodes parameter indicative of an average duration the individual is awake during each wake episode during the time interval of interest; and

an average length of sleep episodes parameter indicative of an average duration the individual is asleep during each sleep episode during the time interval of interest.

16. A method according to claim 10 wherein the physical activity data comprises data representative of the gross motor activity of the individual during a second time interval and wherein determining the composite stress index based at least in part on the sleep history data, the heart beat data and the physical activity history data comprises:

determining a first physical activity parameter associated with a corresponding characteristic of the individual'"'"'s physical activity based on the physical activity history data during the time period of interest;

determining a second physical activity parameter associated with the corresponding characteristic of the individual'"'"'s physical activity based on the physical activity history data during the second time period;

comparing the first physical activity parameter to the second physical activity parameter to determine a difference metric therebetween; and

determining the composite stress index based at least in part on the difference metric.

17. A method according to claim 10 wherein providing physical activity history data comprises providing actigraphy data measured by an actigraphy sensor and wherein providing sleep history data comprises deriving the sleep history data from the actigraphy data.

18. A method according to claim 1 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

a total sleep time parameter indicative of a total time that the individual was asleep during the time interval of interest; and

a time in bed parameter indicative of a total time that the individual was in bed during the time interval of interest.

19. A method according to claim 1 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

a total wake time after first sleep onset parameter indicative of a total time that the individual is awake in bed, after a first occurrence of falling asleep, during the time interval of interest;

a sleep onset latency parameter indicative of a total time that the individual is awake in bed, before first falling asleep, during the time interval of interest; and

a number of awakenings parameter indicative of a total number of times the individual awakens from sleep during the time interval of interest.

20. A method according to claim 1 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise a sleep efficiency parameter indicative of a ratio of a total time asleep while in bed to a total time in bed during the time interval of interest.

21. A method according to claim 1 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

an average length of awake episodes parameter indicative of an average duration the individual is awake during each wake episode during the time interval of interest; and

an average length of sleep episodes parameter indicative of an average duration the individual is asleep during each sleep episode during the time interval of interest.

22. A method according to claim 1 wherein the sleep history data comprises one or more sleep onset times and one or more awakening times for the individual during a second time interval and wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining a first sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep based on the sleep history data during the time interval of interest;

determining a second sleep parameter associated with the corresponding characteristic of the individual'"'"'s sleep based on the sleep history data during the second time interval;

comparing the first sleep parameter to the second sleep parameter to determine a difference metric therebetween; and

determining the composite stress index based at least in part on the difference metric.

23. A method according to claim 1 wherein the heart beat data comprises data representative of the individual'"'"'s cardiac activity during a second time interval and wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining a first cardiac parameter associated with a corresponding characteristic of the individual'"'"'s cardiac activity based on the heart beat data during the time interval of interest;

determining a second cardiac parameter associated with the corresponding characteristic of the individual'"'"'s cardiac activity based on the heart beat data during the second time interval;

comparing the first cardiac parameter to the second cardiac parameter to determine a difference metric therebetween; and

determining the composite stress index based at least in part on the difference metric.

24. A method according to claim 1 providing sleep history data comprises one or more of:

receiving a sleep log comprising the sleep history data;

receiving the sleep history data from a database;

receiving the sleep history data by interactively requesting the individual to provide the details of the sleep history data.

25. A method according to claim 1 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein S_i, represents the one or more sleep parameters, and wherein determining the single-valued sleep stress index comprises evaluating a function of the form;

I_s=Sum_i[N/(1+exp(w_iS_i+b_i))], where I_s represents the sleep stress index, w_i, represents a set of weights, b_i represents a set of constants, and N represents a scaling factor.

26. A method according to claim 1 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining a first sleep parameter based on the sleep history data, the first sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

providing a population average sleep parameter associated with the corresponding characteristic of a sleep history of the population;

comparing the first sleep parameter to the population average sleep parameter to determine a difference metric there between; and

determining the composite stress index based at least in part on the difference metric.

27. A method according to claim 1 wherein determining the composite stress index based at least in part on both the sleep history data and the heart beat data comprises:

determining a first cardiac parameter based on the heart beat data, the first cardiac parameter associated with a corresponding characteristic of the individual'"'"'s cardiac activity during the time interval of interest;

providing a population average cardiac parameter associated with the corresponding characteristic of cardiac activity of the population;

comparing the first cardiac parameter to the population average cardiac parameter to determine a difference metric therebetween; and

determining the composite stress index based at least in part on the difference metric.

28. A method for determining a composite stress index for an individual using a computer, the method comprising:

receiving heart beat data at the computer, the heart beat data representative of the individual'"'"'s cardiac activity during the time interval of interest;

determining one or more cardiac parameters based on the heart beat data, each cardiac parameter associated with a corresponding characteristic of the individual'"'"'s cardiac activity during the time interval of interest;

determining cardiac stress index for the individual based on the one or more cardiac parameters;

receiving physical activity history data at a computer, the physical activity history data representative of gross motor activity of the individual during a time interval of interest;

determining one or more physical activity parameters based on the physical activity history data, each physical activity parameter associated with a corresponding characteristic of the individual'"'"'s physical activity during the time period of;

determining a physical activity stress index for the individual based on the one or more physical activity parameters; and

determining the composite stress index based at least in part on one or more of the cardiac stress index and the physical activity stress index, the composite stress index representative of a general physiological stress of the individual during the time interval of interest.

29. A method according to claim 28 wherein the one or more cardiac parameters comprise one or more of:

an average heart rate of the heart beat data over the time interval of interest;

a standard deviation of R-R intervals in the heart beat data over the time interval of interest;

a root mean squared difference of successive R peaks in the heart beat data over the time interval of interest;

a number of pairs of successive R-R intervals in the heart beat data over the time interval of interest that differ by more than a threshold time

a ratio of a number of pairs of successive R-R intervals in the heart beat data over the time interval of interest that differ by more than a threshold time divided by a total number of R-R intervals in the heart beat data over the time interval of interest; and

a ratio of a high-frequency power to a low-frequency power within a power spectral density of an R-R interval time series constructed from the heart beat data over the time interval of interest.

30. A method according to claim 29 comprising:

providing sleep history data at the computer, the sleep history data comprising one or more sleep onset times and one or more awakening times for an individual during a time interval of interest;

wherein determining the quantitative composite stress index with the computer based at least in part on both the activity history data and the heart beat data comprises determining the composite stress index with the computer based at least in part on the sleep history data, the heart beat data and the physical activity history data;

wherein determining the composite stress index based at least in part on the sleep history data, the heart beat data and the physical activity history data comprises;

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index; and

wherein the one or more sleep parameters comprise one or more of;

a total sleep time parameter indicative of a total time that the individual was asleep during the time interval of interest;

a time in bed parameter indicative of a total time that the individual was in bed during the time interval of interest;

a total wake time after first sleep onset parameter indicative of a total time that the individual is awake in bed, after a first occurrence of falling asleep, during the time interval of interest;

a sleep onset latency parameter indicative of a total time that the individual is awake in bed, before first falling asleep, during the time interval of interest;

a number of awakenings parameter indicative of a total number of times the individual awakens from sleep during the time interval of interest;

a sleep efficiency parameter indicative of a ratio of a total time asleep while in bed to a total time in bed during the time interval of interest;

an average length of awake episodes parameter indicative of an average duration the individual is awake during each wake episode during the time interval of interest; and

an average length of sleep episodes parameter indicative of an average duration the individual is asleep during each sleep episode during the time interval of interest.

31. A method according to claim 28 interest wherein the one or more physical activity parameters comprise one or more of:

a total activity count for the activity history data over the time interval of interest indicative of overall physical movement during the time interval of interest;

an average activity count for the activity history data indicative of typical physical movement during the time interval of interest;

an average activity rate for the activity history data during the time interval of interest indicative of a typical rate of physical movement during the time interval of interest; and

a duration of time that an activity count of the activity history data is above a high activity count threshold over the time interval of interest indicative of a duration of high physical movement.

32. A method according to claim 28 wherein determining the composite stress index based at least in part on the physical activity history data and the heart beat data comprises:

determining one or more physical activity parameters based on the physical activity history data, each physical activity parameter associated with a corresponding characteristic of the individual'"'"'s physical activity during the time period of interest;

determining a single-valued physical activity stress index for the individual based on the one or more physical activity parameters; and

determining the composite stress index based at least in part on the physical activity stress index;

wherein the one or more physical activity parameters comprise one or more of;

a total activity count for the activity history data over the time interval of interest indicative of overall physical movement during the time interval of interest;

an average activity count for the activity history data indicative of typical physical movement during the time interval of interest;

an average activity rate for the activity history data during the time interval of interest indicative of a typical rate of physical movement during the time interval of interest; and

a duration of time that an activity count of the activity history data is above a high activity count threshold over the time interval of interest indicative of a duration of high physical movement.

33. A method according to claim 32 comprising:

providing sleep history data at the computer, the sleep history data comprising one or more sleep onset times and one or more awakening times for an individual during a time interval of interest;

wherein determining the quantitative composite stress index with the computer based at least in part on both the activity history data and the heart beat data comprises determining the composite stress index with the computer based at least in part on the sleep history data, the heart beat data and the physical activity history data;

wherein determining the composite stress index based at least in part on the sleep history data, the heart beat data and the physical activity history data comprises;

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index; and

wherein the one or more sleep parameters comprise one or more of;

a total sleep time parameter indicative of a total time that the individual was asleep during the time interval of interest;

a time in bed parameter indicative of a total time that the individual was in bed during the time interval of interest;

a total wake time after first sleep onset parameter indicative of a total time that the individual is awake in bed, after a first occurrence of falling asleep, during the time interval of interest;

a sleep onset latency parameter indicative of a total time that the individual is awake in bed, before first falling asleep, during the time interval of interest;

a number of awakenings parameter indicative of a total number of times the individual awakens from sleep during the time interval of interest;

a sleep efficiency parameter indicative of a ratio of a total time asleep while in bed to a total time in bed during the time interval of interest;

an average length of awake episodes parameter indicative of an average duration the individual is awake during each wake episode during the time interval of interest; and

an average length of sleep episodes parameter indicative of an average duration the individual is asleep during each sleep episode during the time interval of interest.

34. A method according to claim 28 comprising:

providing sleep history data at the computer, the sleep history data comprising one or more sleep onset times and one or more awakening times for an individual during a time interval of interest;

wherein determining the quantitative composite stress index with the computer based at least in part on both the activity history data and the heart beat data comprises determining the composite stress index with the computer based at least in part on the sleep history data, the heart beat data and the physical activity history data.

35. A method according to claim 34 wherein determining the composite stress index based at least in part on the sleep history data, the heart beat data and the physical activity history data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

a total sleep time parameter indicative of a total time that the individual was asleep during the time interval of interest; and

a time in bed parameter indicative of a total time that the individual was in bed during the time interval of interest.

36. A method according to claim 34 wherein determining the composite stress index based at least in part on the sleep history data, the heart beat data and the physical activity history data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

a total wake time after first sleep onset parameter indicative of a total time that the individual is awake in bed, after a first occurrence of falling asleep, during the time interval of interest;

a sleep onset latency parameter indicative of a total time that the individual is awake in bed, before first falling asleep, during the time interval of interest; and

a number of awakenings parameter indicative of a total number of times the individual awakens from sleep during the time interval of interest.

37. A method according to claim 34 wherein determining the composite stress index based at least in part on the sleep history data, the heart beat data and the physical activity history data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise a sleep efficiency parameter indicative of a ratio of a total time asleep while in bed to a total time in bed during the time interval of interest.

38. A method according to claim 34 wherein determining the composite stress index based at least in part on the sleep history data, the heart beat data and the physical activity history data comprises:

determining one or more sleep parameters based on the sleep history data, each sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep during the time interval of interest;

determining a single-valued sleep stress index for the individual based on the one or more sleep parameters; and

determining the composite stress index based at least in part on the sleep stress index;

wherein the one or more sleep parameters comprise one or more of;

an average length of awake episodes parameter indicative of an average duration the individual is awake during each wake episode during the time interval of interest; and

an average length of sleep episodes parameter indicative of an average duration the individual is asleep during each sleep episode during the time interval of interest.

39. A method according to claim 34 wherein the sleep history data comprises one or more sleep onset times and one or more awakening times for the individual during a second time interval and wherein determining the composite stress index based at least in part on the sleep history data, the heart beat data and the physical activity history data comprises:

determining a first sleep parameter associated with a corresponding characteristic of the individual'"'"'s sleep based on the sleep history data during the time interval of interest;

determining a second sleep parameter associated with the corresponding characteristic of the individual'"'"'s sleep based on the sleep history data during the second time interval;

comparing the first sleep parameter to the second sleep parameter to determine a difference metric therebetween; and

determining the composite stress index based at least in part on the difference metric.

40. A method according to claim 28 wherein the heart beat data comprises data representative of the individual'"'"'s cardiac activity during a second time interval and wherein determining the composite stress index based at least in part on both the activity history data and the heart beat data comprises:

determining a first cardiac parameter associated with a corresponding characteristic of the individual'"'"'s cardiac activity based on the heart beat data during the time interval of interest;

determining a second cardiac parameter associated with the corresponding characteristic of the individual'"'"'s cardiac activity based on the heart beat data during the second time interval;

comparing the first cardiac parameter to the second cardiac parameter to determine a difference metric therebetween; and

determining the composite stress index based at least in part on the difference metric.

41. A method according to claim 28 wherein the physical activity data comprises data representative of the gross motor activity of the individual during a second time interval and wherein determining the composite stress index based at least in part on both the physical activity history data and the heart beat data comprises:

determining a first physical activity parameter associated with a corresponding characteristic of the individual'"'"'s physical activity based on the physical activity history data during the time period of interest;

determining a second physical activity parameter associated with the corresponding characteristic of the individual'"'"'s physical activity based on the physical activity history data during the second time period;

comparing the first physical activity parameter to the second physical activity parameter to determine a difference metric therebetween; and

determining the composite stress index based at least in part on the difference metric.

42. A method according to claim 28 wherein determining the composite stress index based at least in part on the physical activity history data and the heart beat data comprises:

determining a first physical activity parameter based on the physical activity history data, the first physical activity parameter associated with a corresponding characteristic of the individual'"'"'s physical activity during the time period of interest;

providing a population average physical activity parameter associated with the corresponding characteristic of physical activity of the population;

comparing the first physical activity parameter to the population average physical parameter to determine a difference metric therebetween; and

determining the composite stress index based at least in part on the difference metric.

43. A system for determining a composite stress index for an individual comprising:

an actigraphy sensor for providing actigraphy data regarding an individual during a time interval of interest;

a heartbeat sensor for providing heart beat data, the heart beat data representative of the individual'"'"'s cardiac activity during the time interval of interest;

a controller, the controller configured to provide;

a sleep estimator configured to determine sleep history data for the individual during the time period of interest based at least in part on the actigraphy data, the sleep history data comprising one or more sleep onset times and one or more awakening times for the individual during the time interval of interest; and

a composite stress index estimator configured to determine a quantitative composite stress index for the individual based at least in part on both the sleep history data and the heart beat data, the composite stress index representative of a general physiological stress of the individual during the time interval of interest.

44. A system for determining a composite stress index for an individual comprising:

an actigraphy sensor for providing physical activity history data regarding an individual during a time interval of interest, the physical activity history data representative of gross motor activity of the individual during the time interval of interest;

a heartbeat sensor for providing heart beat data, the heart beat data representative of the individual'"'"'s cardiac activity during the time interval of interest; and

a controller configured to provide a composite stress index estimator, the composite stress index estimator configured to determine a quantitative composite stress index for the individual based at least in part on both the physical activity history data and the heart beat data, the composite stress index representative of a general physiological stress of the individual during the time interval of interest.